Best Practices in Data Cleaning: A Complete Guide to Everything You Need to Do Before and After Collecting Your Data

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9781412988018: Best Practices in Data Cleaning: A Complete Guide to Everything You Need to Do Before and After Collecting Your Data

Many researchers jump from data collection directly into testing hypothesis without realizing these tests can go profoundly wrong without clean data. This book provides a clear, accessible, step-by-step process of important best practices in preparing for data collection, testing assumptions, and examining and cleaning data in order to decrease error rates and increase both the power and replicability of results.

Jason W. Osborne, author of the handbook Best Practices in Quantitative Methods (SAGE, 2008) provides easily-implemented suggestions that are evidence-based and will motivate change in practice by empirically demonstrating―for each topic―the benefits of following best practices and the potential consequences of not following these guidelines.

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About the Author:

Jason W. Osborne is Associate Provost and Dean of the Graduate School at Clemson University in Clemson, South Carolina.  He is also Professor of Applied Statistics in the Department of Mathematical Sciences, with a secondary appointment in Public Health Science.  He teaches and publishes on "best practices" in quantitative and applied research methods. He has served as evaluator or consultant on projects in public education (K-12), instructional technology, higher education, nursing and health care, medicine and medical training, epidemiology, business and marketing, and jury selection in death penalty cases. He served as founding editor of Frontiers in Quantitative Psychology and Measurement and has been on the editorial boards of several other journals (such as Practical Assessment, Research, and Evaluation). Jason also publishes on identification with academics (how a student′s self-concept impacts motivation to succeed in academics) and on issues related to social justice and diversity (such as Stereotype Threat). He is the very proud father of three, and holds the rank of third degree black belt in Songahm Tae Kwon Do. The rest is subject to change without notice (as Anne McCaffrey wrote in her bio).  

Review:

This book provides the perfect bridge between the formal study of statistics and the practice of statistics. It fills the gap left by many of the traditional texts that focus either on the technical presentation or recipe-driven presentation of topics. --Elizabeth M. Flow-Delwiche (10/27/2011)"

The first comprehensive and generally accessible text in this area. --J. Michael Hardin (10/27/2011)"

This book provides the perfect bridge between the formal study of statistics and the practice of statistics. It fills the gap left by many of the traditional texts that focus either on the technical presentation or recipe-driven presentation of topics. --Elizabeth M. Flow-Delwiche (10/27/2011)"

The first comprehensive and generally accessible text in this area. --J. Michael Hardin (10/27/2011)"

"This book provides the perfect bridge between the formal study of statistics and the practice of statistics. It fills the gap left by many of the traditional texts that focus either on the technical presentation or recipe-driven presentation of topics."--Elizabeth M. Flow-Delwiche (10/27/2011)

"The first comprehensive and generally accessible text in this area."--J. Michael Hardin (10/27/2011)

-This book provides the perfect bridge between the formal study of statistics and the practice of statistics. It fills the gap left by many of the traditional texts that focus either on the technical presentation or recipe-driven presentation of topics.---Elizabeth M. Flow-Delwiche (10/27/2011)

-The first comprehensive and generally accessible text in this area.---J. Michael Hardin (10/27/2011)

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Jason W. Osborne
Verlag: Sage Publications Ltd. Mrz 2012 (2012)
ISBN 10: 1412988012 ISBN 13: 9781412988018
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Buchbeschreibung Sage Publications Ltd. Mrz 2012, 2012. Taschenbuch. Buchzustand: Neu. Neuware - Many researchers jump straight from data collection to data analysis without realizing how analyses and hypothesis tests can go profoundly wrong without clean data. This book provides a clear, step-by-step process of examining and cleaning data in order to decrease error rates and increase both the power and replicability of results. 296 pp. Englisch. Artikel-Nr. 9781412988018

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